Affectiva, Inc.,
2009.
WWW Link.
Vendor, Emotion Recognition. From the MIT Medial Lab work. Measurement and communication of emotion.
Emotient Analytics,
2009.
WWW Link.
Vendor, Emotion Recognition. Advertising, demographics, monitoring views, etc.
Evoked Expressions in Video (EEV) Dataset,
2021
WWW Link. Novel dataset collected using reaction videos, to study
facial expressions variations as viewers watch the video
OMG-Emotion (One-Minute Gradual-Emotional Behavior),
2018
WWW Link.
Dataset, Emotion Recognition.
Developed for a challenge. 500+ 1 minute emotion videos.
Coan, J.A.,
Allen, J.B., eds.,
The Handbook of Emotion Elicitation and Assessment,
Oxford University Press2006.
Indexed as:
BibRef
0600
EmotionElicitation06
BibRef
Petridis, S.[Stavros],
Martinez, B.[Brais],
Pantic, M.[Maja],
The MAHNOB Laughter database,
IVC(31), No. 2, February 2013, pp. 186-202.
Elsevier DOI
1303
Dataset, Laughter. Laughter; Audiovisual; Thermal; Database; Audiovisual automatic
laughter-speech discrimination
BibRef
Cao, H.[Houwei],
Cooper, D.G.,
Keutmann, M.K.,
Gur, R.C.,
Nenkova, A.,
Verma, R.,
CREMA-D: Crowd-Sourced Emotional Multimodal Actors Dataset,
AffCom(5), No. 4, October 2014, pp. 377-390.
IEEE DOI
1503
emotion recognition
BibRef
Sariyanidi, E.[Evangelos],
Gunes, H.[Hatice],
Cavallaro, A.[Andrea],
Automatic Analysis of Facial Affect:
A Survey of Registration, Representation, and Recognition,
PAMI(37), No. 6, June 2015, pp. 1113-1133.
IEEE DOI
1506
Survey, Facial Affect.
BibRef
Earlier:
Probabilistic Subpixel Temporal Registration for Facial Expression
Analysis,
ACCV14(IV: 320-335).
Springer DOI
1504
Emotion recognition
BibRef
Wang, S.,
Ji, Q.,
Video Affective Content Analysis:
A Survey of State-of-the-Art Methods,
AffCom(6), No. 4, October 2015, pp. 410-430.
IEEE DOI
1512
Survey, Affect Analsis. Content analysis
BibRef
Abadi, M.K.,
Subramanian, R.,
Kia, S.M.,
Avesani, P.,
Patras, I.,
Sebe, N.,
DECAF: MEG-Based Multimodal Database for Decoding Affective
Physiological Responses,
AffCom(6), No. 3, July 2015, pp. 209-222.
IEEE DOI
1509
Dataset, Affective Responses. Databases
BibRef
Provost, E.M.,
Shangguan, Y.,
Busso, C.,
UMEME: University of Michigan Emotional McGurk Effect Data Set,
AffCom(6), No. 4, October 2015, pp. 395-409.
IEEE DOI
1512
Dataset, Emotion Recognition. Emotion recognition
BibRef
Wei, Q.L.[Qing-Lan],
Sun, B.[Bo],
He, J.[Jun],
Yu, L.J.[Le-Jun],
BNU-LSVED 2.0: Spontaneous multimodal student affect database with
multi-dimensional labels,
SP:IC(59), No. 1, 2017, pp. 168-181.
Elsevier DOI
1711
Multimodal
BibRef
Busso, C.,
Parthasarathy, S.,
Burmania, A.,
Abdel Wahab, M.,
Sadoughi, N.,
Provost, E.M.,
MSP-IMPROV: An Acted Corpus of Dyadic Interactions to Study Emotion
Perception,
AffCom(8), No. 1, January 2017, pp. 67-80.
IEEE DOI
1703
Affective computing
BibRef
Zhalehpour, S.,
Onder, O.,
Akhtar, Z.,
Erdem, C.E.,
BAUM-1: A Spontaneous Audio-Visual Face Database of Affective and
Mental States,
AffCom(8), No. 3, July 2017, pp. 300-313.
IEEE DOI
1709
Affective computing, Cameras, Databases, Emotion recognition, Face,
Face recognition,
Facial expression recognition, affective computing,
audio-visual affective database,
dynamic facial expression database,
emotion recognition from speech, emotional corpora,
mental state recognition, spontaneous, expressions
BibRef
Yan, J.J.[Jing-Jie],
Wang, B.[Bei],
Liang, R.[Ruiyu],
A Novel Bimodal Emotion Database from Physiological Signals and Facial
Expression,
IEICE(E101-D), No. 7, July 2018, pp. 1976-1979.
WWW Link.
1807
Dataset, Emotions.
BibRef
Lee, J.Y.[Ji-Young],
Kim, S.R.[Seung-Ryong],
Kim, S.[Sunok],
Park, J.[Jungin],
Sohn, K.H.[Kwang-Hoon],
Context-Aware Emotion Recognition Networks,
ICCV19(10142-10151)
IEEE DOI
2004
Dataset, Emotion Recognition.
WWW Link. emotion recognition, face recognition, feature extraction,
image fusion, neural nets, visual scene, boosting manner,
Adaptive systems
BibRef
Kollias, D.[Dimitrios],
Tzirakis, P.[Panagiotis],
Nicolaou, M.A.[Mihalis A.],
Papaioannou, A.[Athanasios],
Zhao, G.Y.[Guo-Ying],
Schuller, B.[Björn],
Kotsia, I.[Irene],
Zafeiriou, S.P.[Stefanos P.],
Deep Affect Prediction in-the-Wild: Aff-Wild Database and Challenge,
Deep Architectures, and Beyond,
IJCV(127), No. 6-7, June 2019, pp. 907-929.
Springer DOI
1906
BibRef
Earlier: A1, A3, A7, A5, A8, Only:
Recognition of Affect in the Wild Using Deep Neural Networks,
FaceWild17(1972-1979)
IEEE DOI
1709
Computer architecture, Databases, Estimation, Kernel,
Recurrent neural networks, Training, Visualization
BibRef
Zafeiriou, S.P.[Stefanos P.],
Kollias, D.[Dimitrios],
Nicolaou, M.A.[Mihalis A.],
Papaioannou, A.[Athanasios],
Zhao, G.Y.[Guo-Ying],
Kotsia, I.[Irene],
Aff-Wild: Valence and Arousal 'In-the-Wild' Challenge,
FaceWild17(1980-1987)
IEEE DOI
1709
Databases, Distance measurement, Estimation, Motion pictures, Tools,
Videos, YouTube
BibRef
Kosti, R.[Ronak],
Alvarez, J.M.[Jose M.],
Recasens, A.[Adria],
Lapedriza, A.[Agata],
Context Based Emotion Recognition Using EMOTIC Dataset,
PAMI(42), No. 11, November 2020, pp. 2755-2766.
IEEE DOI
2010
Emotion recognition, Databases, Face, Face recognition, Observers,
affective computing, pattern recognition
BibRef
Earlier:
Emotion Recognition in Context,
CVPR17(1960-1968)
IEEE DOI
1711
BibRef
Earlier:
EMOTIC: Emotions in Context Dataset,
DeepAffective17(2309-2317)
IEEE DOI
1709
Computer vision, Databases, Distance measurement,
Emotion recognition, Face, Face recognition, Image, recognition
BibRef
Basile, V.[Valerio],
Novielli, N.[Nicole],
Croce, D.[Danilo],
Barbieri, F.[Francesco],
Nissim, M.[Malvina],
Patti, V.[Viviana],
Sentiment Polarity Classification at EVALITA:
Lessons Learned and Open Challenges,
AffCom(12), No. 2, April 2021, pp. 466-478.
IEEE DOI
2106
Task analysis, Standards, Sentiment analysis, Gold,
Social network services, Training, Sentiment analysis,
evaluation
BibRef
Rouast, P.V.[Philipp V.],
Adam, M.T.P.[Marc T. P.],
Chiong, R.[Raymond],
Deep Learning for Human Affect Recognition:
Insights and New Developments,
AffCom(12), No. 2, April 2021, pp. 524-543.
IEEE DOI
2106
Deep learning, Computer architecture, Biological neural networks,
Emotion recognition, Training, Human computer interaction,
human-computer interaction
BibRef
Ong, D.C.[Desmond C.],
Soh, H.[Harold],
Zaki, J.[Jamil],
Goodman, N.D.[Noah D.],
Applying Probabilistic Programming to Affective Computing,
AffCom(12), No. 2, April 2021, pp. 306-317.
IEEE DOI
2106
Computational modeling, Probabilistic logic, Programming,
Object oriented modeling, Cognition, Psychology,
modeling human emotion
BibRef
Cañamero, L.[Lola],
Embodied Robot Models for Interdisciplinary Emotion Research,
AffCom(12), No. 2, April 2021, pp. 340-351.
IEEE DOI
2106
Robots, Computational modeling, Biological system modeling,
Cognition, Brain modeling, Analytical models, Neuroscience,
interdisciplinary research
BibRef
Ong, D.C.[Desmond C.],
Wu, Z.X.[Zheng-Xuan],
Tan, Z.X.[Zhi-Xuan],
Reddan, M.[Marianne],
Kahhale, I.[Isabella],
Mattek, A.[Alison],
Zaki, J.[Jamil],
Modeling Emotion in Complex Stories:
The Stanford Emotional Narratives Dataset,
AffCom(12), No. 3, July 2021, pp. 579-594.
IEEE DOI
2109
Dataset, Emotion. Computational modeling, Hidden Markov models,
Affective computing, Biological system modeling, Videos,
emotional corpora
BibRef
McDuff, D.[Daniel],
Jun, E.[Eunice],
Rowan, K.[Kael],
Czerwinski, M.[Mary],
Longitudinal Observational Evidence of the Impact of Emotion
Regulation Strategies on Affective Expression,
AffCom(12), No. 3, July 2021, pp. 636-647.
IEEE DOI
2109
Regulation, Tools, Software, Atmospheric measurements,
Particle measurements, Mood, Emotion regulation, longitudinal, gender
BibRef
Puviani, L.[Luca],
Rama, S.[Sidita],
Vitetta, G.M.[Giorgio Matteo],
A Mathematical Description of Emotional Processes and Its Potential
Applications to Affective Computing,
AffCom(12), No. 3, July 2021, pp. 692-706.
IEEE DOI
2109
Mathematical model, Neuroscience, Heuristic algorithms,
Affective computing, Emotion recognition, Machine learning,
Bayesian inference
BibRef
Vicol, P.[Paul],
Tapaswi, M.[Makarand],
Castrejón, L.[Lluís],
Fidler, S.[Sanja],
MovieGraphs:
Towards Understanding Human-Centric Situations from Videos,
CVPR18(8581-8590)
IEEE DOI
1812
WWW Link.
Dataset, Gestures. Videos of social situations to teach robots to understand people.
Videos, Motion pictures, Semantics, Natural languages, Face,
Automobiles, Legged locomotion
BibRef
Panda, R.[Rameswar],
Zhang, J.M.[Jian-Ming],
Li, H.X.[Hao-Xiang],
Lee, J.Y.[Joon-Young],
Lu, X.[Xin],
Roy-Chowdhury, A.K.[Amit K.],
Contemplating Visual Emotions:
Understanding and Overcoming Dataset Bias,
ECCV18(II: 594-612).
Springer DOI
1810
BibRef
Balouchian, P.,
Foroosh, H.[Hassan],
Context-Sensitive Single-Modality Image Emotion Analysis: A Unified
Architecture from Dataset Construction to CNN Classification,
ICIP18(1932-1936)
IEEE DOI
1809
Emotion recognition, Training, Visualization,
Context modeling, Single-Modality Classification
BibRef
Nguyen, H.[Hung],
Kotani, K.[Kazunori],
Chen, F.[Fan],
Le, B.[Bac],
A Thermal Facial Emotion Database and Its Analysis,
PSIVT13(397-408).
Springer DOI
1402
Dataset, Facial Expression.
BibRef
Wang, W.N.[Wei-Ning],
He, Q.H.[Qian-Hua],
A survey on emotional semantic image retrieval,
ICIP08(117-120).
IEEE DOI
0810
BibRef
Chapter on Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics continues in
Emotion Recognition, Body Gestures, Body Language .